Design and development of an integrated end-to-end resource provisioning and management system for high performance data transfer framework to leverage heterogeneous network protocols and storage types in a federated computing environment. The research challenge is to develop analytical tools and efficient approaches for joint allocation and co-scheduling of well-balanced network and storage resources involved in data transfer. The research outcomes will play a transformative role to bridge end-to-end advanced storage and network technologies with science applications in a transparent way.